极限工况下主动前轮转向汽车稳定性控制

轮胎对汽车稳定性有重要影响,研究和利用轮胎的非线性特性有助于扩展汽车的稳定域。本文基于非线性轮胎模型,提出一种改进型线性时变模型预测控制(LTV-MPC)方法。该方法能扩展主动前轮转向汽车的稳定范围,提高极限工况下主动前轮转向汽车的稳定性。仿真结果表明,该方法比传统的LTV-MPC方法具有更好的稳定性控制效果。     

重型商用车驾驶室悬置结构对平顺性影响的试验研究

以某重型商用车驾驶室悬置系统为例,通过实车道路试验,研究了四弹簧,四气囊悬置减振系统的振动特性在A级路面和B级路面对车辆行驶平顺性的影响规律。试验结果表明,四气囊驾驶室悬置系统的平顺性整体优于四弹簧驾驶室悬置结构。     

项目管理在汽车开发过程中的应用

项目管理技术作为一种管理工具,使用在汽车开发这项复杂工程中,能极大帮助汽车企业提升整体开发能力、提升产品品质、增强企业竞争能力。文章在阐述了项目管理理论知识以及研发项目管理理论知识基础上,结合XX汽车公司产品开发流程,论述了项目管理在汽车研发中的应用,解析了企业项目管理中存在的问题,提出了项目管理理论指导项目实践活动的观点,理论知识和实践活动相互结合,相辅相成,才能共同完成项目目标。     

Unified decision-making and control for highway collision avoidance using active front steer and individual wheel torque control

ABSTRACT

Collision avoidance is a crucial function for all ground vehicles, and using integrated chassis systems to support the driver presents a growing opportunity in active safety. With actuators such as in-wheel electric motors, active front steer and individual wheel brake control, there is an opportunity to develop integrated chassis systems that fully support the driver in safety critical situations. Here we consider the scenario of an impending frontal collision with a stationary or slower moving vehicle in the same driving lane. Traditionally, researchers have approached the required collision avoidance manoeuver as a hierarchical scheme, which separates the decision-making, path planning and path tracking. In this context, a key decision is whether to perform straight-line braking, or steer to change lanes, or indeed perform combined braking and steering. This paper approaches the collision avoidance directly from the perspective of constrained dynamic optimisation, using a single optimisation procedure to cover these aspects within a single online optimisation scheme of model predictive control (MPC). While the new approach is demonstrated in the context of a fully autonomous safety system, it is expected that the same approach can incorporate driver inputs as additional constraints, yielding a flexible and coherent driver assistance system.     

An integrated modeling approach for facilitating emission estimations of alternative fueled vehicles

This paper develops an integrated model for reliable estimation of daily vehicle fuel savings and emissions using an integrated traffic emission modeling approach created by incorporating the US Environmental Protection Agency’s vehicle emission model, MOVES, and the PARAMICS microscopic traffic simulation package. A case study is conducted to validate the model using a well-calibrated road network in Greenville, South Carolina. For each transportation fuel considered, both emission and fuel consumption impacts are evaluated based on market shares.     

东风雪铁龙塞纳轿车新款造型设计

简述了东风雪铁龙赛纳轿车新款造型概念设计的过程。通过方案的可行性论证、新产品的定位以及对雪铁龙轿车设计理念和风格的理解,得出了二维创意草图;并应用Rhino软件对其进行了三维曲面建模和精细渲染,完成改款车的造型设计。     

Evaluating policies to reduce greenhouse gas emissions from private transportation

This paper proposes a model system to forecast household greenhouse gas emissions (GHGEs) from private transportation. The proposed model combines an integrated discrete-continuous car ownership model with MOVES 2014. Four modeling components are calibrated and applied to the calculation of GHGEs: vehicle quantity, vehicle type and vintage, miles traveled, and rates of GHGEs. The model is applied to the Washington D.C. Metropolitan Area. Three tax schemes are evaluated: vehicle ownership tax, purchase tax and fuel tax. We calculate that the average GHGEs per vehicle is 5.15 tons of carbon dioxide-equivalent (CO₂E) gases. Our results show that: (a) a fuel tax is the most effective way to reduce vehicle GHGEs, especially for households with fewer vehicles; (b) a purchase tax reduces vehicle GHGEs mainly by decreasing vehicle quantity for households with more vehicles; and (c) an ownership tax reduces vehicle GHGEs by decreasing both vehicle quantity and miles traveled.     

基于PCA-SVM的DCT汽车驾驶员起步意图识别

针对目前对于双离合自动变速器(Dual Clutch Transmission,DCT)汽车驾驶员起步过程中意图变化的研究有限,且现有方法的识别准确率不高这一问题,提出了一种基于主成分分析(Principal Component Analysis,PCA)和支持向量机(Support Vector Machines,SVM)的变化起步意图识别模型。根据驾驶员针对车辆反馈的反应时间,将起步过程划分为6个阶段;基于K均值聚类确定各个阶段的缓慢起步、一般起步、紧急起步这3种起步意图的界限;基于主成分分析挖掘出各个阶段起步意图识别的新特征;在此基础上构建6个SVM模型,并利用这6个模型分别对各阶段的起步意图进行识别。经过验证,该模型的平均测试准确率为94.92%,比只利用线性SVM模型高16.89%,且单个模型的平均耗时为0.008 s,能够快速有效地识别出DCT汽车驾驶员的起步意图。     

浅谈汽车检测技术发展及现状

未来我国的汽车检测领域应当朝向标准化、一体化、智能化与制度化方向发展,以可持续发展观为指导,在加速发展检测技术的同时实现对汽车检测技术的提高。文章针对我国当前检测技术的发展现状进行有效分析,并列举了几种对汽车部件检测的具体方法。